In partnership with the Department of Health, Department of Science and Technology, the Philippine Council for Health Research and Development, and the Ateneo de Manila University, FASSSTER aims to provide a user-friendly tool for modelling disease spreads in the Philippines to aid in the DOH's disease surveillance efforts. FASSSTER takes a multi-dimensional approach in modelling disease spreads by using localized indices from Philippine health records and by integrating third-party data, such as those found in Electronic Medical Record (EMR) systems and online sources. It is a web-based disease surveillance platform that uses deterministic compartmental modelling.
Department of Health, Ateneo de Manila University and University of the Philippines
Database